PDF AI readers

[1] Use GPT to read PDF files https://www.popai.pro/

[2] More general https://www.chatpdf.com

Firefox open multiple private window

 

 

/opt/firefox/firefox-bin --profile $(mktemp -d) --private-window www.google.com www.bing.com
 

AI Applications for Draw

 

[1] Swap face (Adapt face shape to target) https://www.artguru.ai #Use anonymous windows

      Same core than previous line https://www.pica-ai.com/

[2] Swap face pose https://faceswapper.ai/swapper  #Free 10 by day (Works good with 3/4 face)

[3] Swap free 8 times/day https://www.vidnoz.com/face-swap.html #Check by IP, PW

[4] Swap free 8 times/day https://www.miocreate.com/face-swap.html  #Check by IP, PW

[5] https://www.ismartta.com/ #Check by IP,  works more time in private window

[0] https://aifaceswap.io/  HD Inf

Compose

[1] Replace hair style https://picsart.com/ai-replace/

By email

 

[1] 10/day https://pixlr.com/face-swap/ HD

Nvidia Metrics and more

 

[1] Times by cuda https://developer.nvidia.com/blog/how-implement-performance-metrics-cuda-cc/

[2] GPU Code https://http.download.nvidia.com/developer/GPU_Gems/CD_Image/Index.html 

[3] Fluid in GPU theory https://developer.nvidia.com/gpugems/gpugems/part-vi-beyond-triangles/chapter-38-fast-fluid-dynamics-simulation-gpu

[4] GPU Computing https://researchcomputing.princeton.edu/support/knowledge-base/gpu-computing


Cards 

[1] Guide https://www.nvidia.com/content/geforce-gtx/GEFORCE_RTX_2070_SUPER_User_Guide.pdf

[2] RTX 2070 Techinal summary  https://www.techpowerup.com/gpu-specs/geforce-rtx-2070-super.c3440

Important notes

* CUDA technology is developed by NVIDIA, and it is primarily designed to work with NVIDIA GPUs. CUDA is a parallel computing platform and application programming interface model that allows developers to use NVIDIA GPUs for general-purpose processing.

AMD has its own equivalent technology called OpenCL (Open Computing Language), which is an open standard for parallel programming of heterogeneous systems. OpenCL is not specific to AMD; it is supported by various vendors, including AMD, Intel, and others.

If you have an AMD GPU and want to leverage its parallel processing capabilities, you would typically use OpenCL rather than CUDA. However, it's important to note that not all software applications support both CUDA and OpenCL. The level of support depends on how the software was developed.

 * CUDA technology is specific to NVIDIA GPUs (Graphics Processing Units), and it cannot be used with AMD GPUs. CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA for their GPUs. It includes a programming interface and software development kit (SDK) for general-purpose computing on NVIDIA GPUs.

On the other hand, AMD uses a different technology called OpenCL (Open Computing Language) for parallel computing across CPUs, GPUs, and other processors. OpenCL is an open standard maintained by the Khronos Group, and it is designed to be vendor-neutral, allowing developers to write code that can run on different hardware platforms, including AMD GPUs. For getting information about CAD Drafting and designing visit CAD Drafter.

If you have an AMD GPU and you are looking to perform GPU-accelerated computing, you would generally use OpenCL or other AMD-specific technologies like ROCm (Radeon Open Compute). CUDA-based applications are not compatible with AMD GPUs, and vice versa.

It's worth noting that some software applications and libraries support both CUDA and OpenCL, allowing users to choose between NVIDIA and AMD GPUs. However, the underlying GPU-specific code would need to be implemented separately for CUDA and OpenCL.

* in 2024 it is possible to run CUDA code in AMD GPUs

https://github.com/vosen/ZLUDA

* Is CUDA faster than MPI?

CUDA is fast, but only if your do a lot of parallel processing on matrices. CUDA can be very fast, but for some kind of applications. Data transfer in CUDA is often the bottleneck. MPI is suitable for cluster environment and large scale network of computers.

 

 

References

[1] NVidia Pascal https://wccftech.com/nvidia-pascal-gpu-gtc-2015/

[2] https://community.amd.com/t5/ai-discussions/is-it-possible-to-use-cuda-technology-with-amd/td-p/643124

Animation online

Sketch to animation

[1] https://sketch.metademolab.com/

 

Animate avatar from audio recorded

 

[1] https://new.express.adobe.com/tools/animate-from-audio

Online Machine Learning tools

 

 Multiclass Image Classification

https://teachablemachine.withgoogle.com/train/image

Series Online

[1] Spanish  https://elnovelerovariadito.com/el-senor-de-los-cielos-sus-comienzos-t-1/

[2]

 

Corean 

[1] https://pandrama.app

[2] https://doramashd.com 

[3] https://doramason.com/pais/corea-del-sur/

AI Animation

Draw to 3D https://monstermash.zone/

 https://econ3d.com/en/

https://www.csm.ai/

https://dreamgaussian.github.io/

Diffusion

Text to image https://ideogram.ai

 

Filters

Image to Image https://www.seaart.ai/ai-tools/ai-filter

Leonardo https://app.leonardo.ai/ai-generations

Speech

Antoni/Adam/Thomas(soft) https://elevenlabs.io/speech-synthesis

Video edition online

 

Downloaders

[1] Skip filters https://www.highperformr.ai/tools/ai-youtube-video-downloader

Tools

[1] Loop 5x/Crop/Resolution https://online-video-cutter.com/loop-video

[2] Extract mp3/Resolution https://video-converter.com

[3] Replace audio https://www.onlineconverter.com/add-audio-to-video

Windows Server 2019

Quitar mensaje de error al acceder al panel de idioma 

1. Ejecuta secpol.msc 

2. Habilita la siguiente directiva - Directivas locales - Opciones de seguridad - Control de cuentas de usuario: Modo de aprobación de administrador para la cuenta predefinida Administrador

Add audio track to mp4

 

 

ffmpeg -i badges-of-fury-2013-watch-hd-freedownloadvideo.net.mp4 -i badges-of-fury-2013-watch-hd-freedownloadvideo.net
.mp3 -map 0 -map 1 -codec copy output_video.mp4   

ffmpeg -i badges-of-fury-2013-watch-hd-freedownloadvideo.net.mp4 -itsoffset 00:00:24 -i badges-of-fury-2013-watch-hd-f
reedownloadvideo.net.mp3 -map 0 -map 1 -codec copy badges_output_video.mp4


References:

[1] https://stackoverflow.com/questions/11779490/how-to-add-a-new-audio-not-mixing-into-a-video-using-ffmpeg

[2] https://superuser.com/questions/708125/add-audio-at-specific-time-in-video-using-ffmpeg

[3] Extract mp3 from youtube https://tuberipper.com

[4] Download mp4 from dailymotion https://freedownloadvideo.net

Investments

 

[1] Perú Plazo Fijo https://andina.pe/agencia/noticia-guerra-bancos-2023-mira-cuales-pagan-mayores-tasas-depositos-a-plazos-900339.aspx

Arcade Games Linux

 

Snes9x

sudo apt install flatpak
flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepo

flatpak install flathub com.snes9x.Snes9x 

ZSNES is a Super Nintendo Emulator that can run on Windows, Linux, FreeBSD, and DOS. It runs as a GUI interface where you can load ROM of NES games.

sudo apt install zsnes

higan is an emulator for Nintendos SNES, NES, Gameboy, Gameboy Color, and Gameboy Advance. It was formerly called bsnes and the SNES emulation is especially complete and polished.

sudo apt install higan 

 

References:

https://www.debugpoint.com/3-nes-emulators-to-play-old-nes-games-in-linux/

 

Graph tools

 

𝐓𝐨𝐨𝐥𝐬 𝐭𝐨 𝐦𝐚𝐢𝐧𝐥𝐲 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐞 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬:
- Geph - https://gephi.org
- Gephisto- https://lnkd.in/diSp3BWN
- VOSviewer - https://www.vosviewer.com
- Cytoscape - https://cytoscape.org
- Kumu - https://kumu.io
- GraphInsight - https://lnkd.in/d5XnkWJr
- NodeXL - https://nodexl.com
- Orange - https://lnkd.in/dZU8Zx3D
- Graphia - https://graphia.app
- Graphistry - https://www.graphistry.com
- SocNetV - https://socnetv.org
- Tulip - https://lnkd.in/dtc_BD33


𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧:
- networkx - https://lnkd.in/dKCCXjif
- graphviz - https://lnkd.in/dtrTeqRv
- pydot - https://lnkd.in/dA46YZvy
- python-igraph - https://lnkd.in/dCGsRXh2
- pyvis - https://lnkd.in/dVrQ64nN
- ipycytoscape - https://lnkd.in/d-hJjDdG
- pygsp - https://lnkd.in/dS7s-A_v
- graph-tool - https://lnkd.in/dvytUzdu
- nxviz - https://lnkd.in/duHbKGPN
- py2cytoscape - https://lnkd.in/dWUU8TZH
- ipydagred3 - https://lnkd.in/diXgFWMD
- ipysigma - https://lnkd.in/dP55J5et
- Py3Plex - https://lnkd.in/dhwe7f_g
- net wulf - https://lnkd.in/dxrHAm2P
 

Render tools - POV Ray

Compiling

https://github.com/POV-Ray/povray/releases/tag/v3.8.0-beta.2 

configure error: Could not link against boost_

sudo apt-get install libboost-all-dev

Update Gimp

From 2.8 to 2.10 using apt-get

$ sudo add-apt-repository ppa:otto-kesselgulasch/gimp

$ sudo apt-get update

$ sudo apt-get install gimp

 

References:

https://linuxhint.com/install_gimp_210_ubuntu_1804/

ASNetwork : Breaking ambiguity

 

 

[1] Salient Object Detection Driven by Fixation Prediction https://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Salient_Object_Detection_CVPR_2018_paper.pdf

[2] Action Schema Networks https://ipc2023-learning.github.io/abstracts/asnets.pdf

Volume Fractions

Thesis

[1] Smooth Interface Reconstruction from Volume Fraction Data Using Variational
Techniques and Level Set Methods

https://escholarship.org/content/qt2466j56f/qt2466j56f_noSplash_4c9dcb1c6cacafb1bcdc4a7bab220630.pdf?t=odypru

 

Volume Fractions in Rectangular Grids

Analytical Relations Connecting Linear Interfaces and Volume Fractions in Rectangular Grids
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.536.848&rep=rep1&type=pdf
[1] Markers - A front-tracking algorithm for accurate representation of surface tension (Zaleski)
https://hal.archives-ouvertes.fr/hal-01445441/document



[2] Level Set Methods (LSM)
[2.1] Tutorial Level Set vs Marching Methods https://math.berkeley.edu/~sethian/2006/Explanations/level_set_explain.html

[2.2-1] Part I (Def) https://wiseodd.github.io/techblog/2016/11/05/levelset-method/
[2.2-2] Part II(Application for segmentation) https://wiseodd.github.io/techblog/2016/11/20/levelset-segmentation/

Deep Gan Applications

Super Resolution

[0] https://replicate.com/collections/super-resolution 

[1] https://replicate.com/nightmareai/real-esrgan  /require github account

[2] https://replicate.com/mv-lab/swin2sr (alternative) 

[3] Nightmare https://www.nightmare-ai.com/playground

Styles

[1] https://replicate.com/collections/ml-makeovers 

Restoration

[1] 5byday https://www.restorephotos.io/restore (based on replicate)

[2] https://replicate.com/collections/image-restoration

[3] https://replicate.com/microsoft/bringing-old-photos-back-to-life

 

Alternatives

[1] https://ai.nero.com/photo-restore

[2] https://www.aiease.ai/app/restore-photo

[3] https://photobooth.online/en-us/photo-restoration/upload

[4] https://www.photorestore.io/restore 

[5] https://jpghd.com/

Frequence space ( Source codes )

References:

[1] Elliptic Harmonics http://www.cs.utah.edu/~jfishbau/advimproc/project3/



Resources:
 0) Discrete Fourier Transform 1D, source code c/c++/java/python and more https://www.nayuki.io/page/how-to-implement-the-discrete-fourier-transform
1) Discret Sine Tranform  https://people.sc.fsu.edu/~jburkardt/cpp_src/sine_transform/sine_transform.html
  1.1) Python version http://www-personal.umich.edu/~mejn/computational-physics/dcst.py

2) Haar Wavelet compression https://people.math.osu.edu/husen.1/teaching/wi2010/572/572.html

3) Fast Fourier Tranform 1d/2d http://www.kurims.kyoto-u.ac.jp/~ooura/fft.html
4) Elliptic Fourier Transform source code python https://github.com/hbldh/pyefd
5) Spatial Elliptical Fourier Descriptors python https://spatial-efd.readthedocs.io/en/latest/raster_link.html 

6) Morphometric in R https://github.com/MomX/Momocs/

Visual Computing

 

 

[1] Definition https://link.springer.com/content/pdf/10.1007/978-3-642-85023-3_1.pdf

Web Screen-Space methods for fluid rendering

 

[1] https://www.babylonjs.com/

Writing

[1]  Writing and Publishing Scientific Papers Image de couverture Series https://books.openbookpublishers.com/10.11647/obp.0235.pdf

AI Surfaces

 

[1] https://dsilvavinicius.github.io/nise/

Geo DataScience

Datasets

[1] Flood Mapping https://ieee-dataport.org/competitions/2024-ieee-grss-data-fusion-contest-flood-rapid-mapping

 

[1] datos https://www.datosabiertos.gob.pe/

[2] lat/long Perú https://github.com/jmcastagnetto/ubigeo-peru-aumentado

[3] variables vivienda y conocimiento https://www.redalyc.org/journal/6357/635767693004/html/

CONCLUSIONES

El conocimiento sobre dengue, las viviendas que presentan depósitos de basura y agua acumulada están relacionadas a los casos de Dengue en los distritos de Luyando y Rupa Rupa, en la provincia de Leoncio Prado. Persisten conductas de riesgo a pesar del adecuado conocimiento sobre la enfermedad. No se encontró asociación con el tipo de vivienda, género, material predominante en las viviendas, tipo de abastecimiento de agua y servicios higiénicos.

 

[4] datos amazonia https://www.dge.gob.pe/sala-situacional-dengue/#grafico27

[5] Mapas Perú .shp https://www.geogpsperu.com/2014/03/base-de-datos-peru-shapefile-shp-minam.html

[6] Información Geoespacial Perú https://www.idep.gob.pe/geovisor/descarga/visor.html

[6] Hidrografía https://data.humdata.org/dataset/hidrografia-de-peru?

   https://data.humdata.org/dataset

[7] Áreas  naturales protegidas https://geo.sernanp.gob.pe/visorsernanp/

[8] Biomasa Brasil https://mapbiomas.org/download

Processing 

[1] plotting maps https://ggplot2-book.org/maps.html

[1.1] https://community.rstudio.com/t/geom-label-with-custom-background-and-color-text/45161

[2] poly2nb https://www.rdocumentation.org/packages/spdep/versions/1.2-8/topics/poly2nb

[3] Indicadores demograficos Perú (teoria) https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1743/Libro.pdf

R Installation and more

 

* R installation




$sudo apt install r-base

 

* Package installation

install.packages('readr')

 

* install.packages('sf')

//Configuration failed because libudunits2.so was not found


sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable
sudo apt-get update
sudo apt-get install libudunits2-dev libgdal-dev libgeos-dev libproj-dev 

* install.packages('dplyr') //dataframe, works with R version >= 3.5

* install.packages('tidyverse') //Contains other packages (dplyr, ggplot2, etc.)  

* install.packages('spdep') //Spatial Dependence: Weighting Schemes, Statistics. A collection of functions to create spatial weights matrix objects from polygon

* install.packages('GGally') //extends 'ggplot2'

 

* install.packages('leaflet') //makes it easy to integrate and control Leaflet maps in R.

* install.packages('coda')

 

* install.packages('CARBayes')

* install.packages('CARBayesdata') 

 

* install.packages('xlsx')  

 

    dependences:

      1) java

      2) sudo apt-get install openjdk-11-jdk

      3) sudo R CMD javareconf    

      4) https://github.com/PCRE2Project/pcre2/releases  

      4.1) compilation https://www.appsloveworld.com/r/100/371/how-to-solve-lpcre2-8-error-while-installing-rjava-package-in-r


* install.packages('readxl')

 

* install.packages('tmap')


 

 

 

References:

[1] rstudio https://linuxconfig.org/rstudio-on-ubuntu-18-04-bionic-beaver-linux

[2] R 3.5 installation on Linux 18 https://rtask.thinkr.fr/installation-of-r-3-5-on-ubuntu-18-04-lts-and-tips-for-spatial-packages

[2] rstudio previous https://docs.posit.co/previous-versions/rstudio/

Latex writing

Highlighting code

[1] Custom C https://tex.stackexchange.com/questions/312789/lstdefinelanguage-cannot-handle-keywords-if-endif

Multi references

\bibliography{paper,references2019}

Soundscape works

 

[1] A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network

https://www.sciencedirect.com/science/article/pii/S1574954120300637?via%3Dihub

[2] https://www.frontiersin.org/articles/10.3389/fevo.2021.738537/full

Backtesting

 

[1] popular code https://github.com/kernc/backtesting.py/tree/master/backtesting

[2] https://blog.devgenius.io/algorithmic-trading-backtesting-a-strategy-in-python-3a136be16ece

[3]  https://towardsdatascience.com/backtest-your-trading-strategy-with-only-3-lines-of-python-3859b4a4ab44

Python Genetic Algorithms

 

[1] pyGAD https://github.com/ahmedfgad/GeneticAlgorithmPython

Transformers in Computer Vision

 

[1] Review https://sh-tsang.medium.com/review-vision-transformer-vit-406568603de0

[2] Colab ViT Tutorial https://colab.research.google.com/github/hirotomusiker/schwert_colab_data_storage/blob/master/notebook/Vision_Transformer_Tutorial.ipynb

[3] ViT pytorch https://github.com/lucidrains/vit-pytorch

[4] Vit Keras https://wandb.ai/ayush-thakur/keras_cv_vit/reports/Image-Classification-Using-Vision-Transformer-and-KerasCV--VmlldzozNTE4MzMz

[5] Fine tunning https://huggingface.co/blog/fine-tune-vit

[6] Full material https://github.com/cmhungsteve/Awesome-Transformer-Attention

Watercolor tips

 

Material

[1] https://www.nicoletalle.com/como-elegir-el-mejor-set-de-acuarelas/

Paper

[1] ...

Latex - Format listing environment

minted package 

References:

[1] https://www.overleaf.com/learn/latex/Code_Highlighting_with_minted

Ubuntu 18 OpenGL compilation issues

1) 

In file included from main.cpp:8:0:
gluvi.h:10:10: fatal error: GL/glut.h: No such file or directory
#include <GL/glut.h> // ...when everyone else puts it here?
         ^~~~~~~~~~~

$ sudo apt-get install freeglut3-dev

2)

util.h: In function ‘double randhashd(unsigned int)’:
util.h:259:33: error: ‘UINT_MAX’ was not declared in this scope
{ return randhash(seed)/(double)UINT_MAX; }

#include <climits>

3)


array1.h: In constructor ‘Array1<T>::Array1(long unsigned int, const T*, long unsigned int)’:
array1.h:124:12: error: ‘memcpy’ is not a member of ‘std’
      std::memcpy(data, data_, n*sizeof(T));

#include <cstring>

4) Does not find/recognize libGL

fincahuanaco@pisces:~/DRIVE/Research23/viscosity$ g++ testgl.cpp -lglut -lGLU -L/usr/lib -lGL
/usr/bin/ld: cannot find -lGL
collect2: error: ld returned 1 exit status

#Check symbolic link

$ file /usr/lib/x86_64-linux-gnu/libGL.so 

/usr/lib/x86_64-linux-gnu/libGL.so: broken symbolic link to libGL.so.1.0.0 

 

$ file /usr/lib/x86_64-linux-gnu/libGL.so.1.7.0 #this is right file

/usr/lib/x86_64-linux-gnu/libGL.so.1.7.0: ELF 64-bit LSB shared object, x86-64, version 1 (SYSV), dynamically linked, stripped

#Update libGL link, first go to directory and update

$ cd /usr/lib/x86_64-linux-gnu
$ sudo ln -s libGL.so.1.7.0 libGL.so

#back to source directory and try again

fincahuanaco@pisces:~/DRIVE/Research23/viscosity$ g++ testgl.cpp -lglut -lGLU -lGL            
fincahuanaco@pisces:~/DRIVE/Research23/viscosity$ ./a.out

References:

[1] First OpenGL code http://www.codebind.com/linux-tutorials/install-opengl-ubuntu-linux/

Ubuntu 18: Dark theme

 

$gsettings set org.gnome.desktop.interface gtk-theme 'Adwaita-dark'

References:
[1] https://askubuntu.com/questions/1047604/ubuntu-18-04-missing-global-dark-theme-option-in-gnome-tweak-tool

 

My Wallpapers

 [1] Leopard https://wallhere.com/en/wallpaper/1058505

Graph Neural Network - Step 1

 

References:

[1] Short review https://neptune.ai/blog/graph-neural-network-and-some-of-gnn-applications

[2] Coding GNN https://keras.io/examples/graph/gnn_citations/

[2.1] https://keras.io/examples/graph/gat_node_classification/

AI tools to create videos

[0] Create a Story using chatGPT

[1] Text to speach https://www.speachy.ai  #no includes english/doesnt work

[2] Text and Speach to Video https://invideo.io/

[3] Free Atatars https://www.synthesia.io

Data Visualization tools

 

[1] A new library for LLMs and NNs that provides visual clustering analysis and model interpretability. Super useful.

!pip install arize-phoenix

CG Visualization tools

 

[1] tools https://graphics.tudelft.nl/software/

[2] Surface from fluid in GPU https://github.com/xiaoxiaoyu1872/PostMPS

Latent space

 

References:

[1] https://www.europeanvalley.es/noticias/el-espacio-latente-en-la-ia/

[2] https://rstudio-pubs-static.s3.amazonaws.com/840251_35002e1971484924bc78c24f442e530a.html

Convert Photo in Cartoon

 

 

[1] https://imglarger.com/Cartoonizer

[2] https://vanceai.com/toongineer-cartoonizer/

[3] Prompt image to cartoon https://deepai.org/machine-learning-model/image-editor

[4] https://www.befunky.com/create/photo-to-cartoon/

[5] Head+ [Body models]  https://imagetocartoon.com/ 10/week

[6] 4Adults AI https://metaroids.com/lists/adult-ai-art-tools-that-can-generate-nsfw-ai-images/

WebAssembly

 

[1] Compiling an Existing C Module to WebAssembly

 https://developer.mozilla.org/en-US/docs/WebAssembly/existing_C_to_wasm

Jetson Wifi issues

#Alternative to wpa_supplicant

Creating connection(important don't remove --):

$ nmcli connection add type wifi con-name "myconname" ifname wlan0 ssid "eduroam" -- wifi-sec.key-mgmt wpa-eap 802-1x.eap ttls
 802-1x.phase2-auth mschapv2 802-1x.identity "USERNAME" 

$ sudo --ask nmcli c up myconname 

 

 

$ ls /etc/NetworkManager/system-connections  #show connections

$ cat /etc/NetworkManager/system-connections/myconname #show file connection 

$ nmcli con show myconname  #show connection detailed

Error 1:

password for '802-1x.identity' not given in 'passwd-file' 

Solution 1:

$ vi mypassfile  #add next line with pass value

802-11-wireless-security.psk:mypassvalue

$ nmcli con up <myconname> passwd-file <mypassfile>



References:

[1] Single connection https://www.linuxfordevices.com/tutorials/ubuntu/connect-wifi-terminal-command-line

[2] https://vessokolev.blogspot.com/2018/08/using-nmcli-to-create-8021x-eap-ttls.html

 

 

 

Python - Creating virtual environments

Install pip if it doesn't exist

$curl -O https://bootstrap.pypa.io/get-pip.py

$python3 get-pip.py --user

$python3 -m pip list

$python3 -m pip install tensorflow --no-cache-dir  #for space issue
 

Error during execution of: python3.8 -m venv myenv

Error: Command '['/path/to/desired/env/bin/python3.8', '-Im', 'ensurepip', '--upgrade', '--default-pip']' returned non-zero exit status 1.

Solution: Create a virtual environment using a especific python version

$virtualenv --python=$(which python3.7) envtf4p37

 

Proxy list and tools

 

 

Tools:

[1] https://hidemy.name/en/proxy-checker

[2] Listing proxies by country https://www.proxynova.com/proxy-server-list/country-us

FAPESP Brazil

References

[1] https://fapesp.br/valores/bolsasnopais

Jetson Nano and Tensorflow 2.4 in Python3.6

 

References:

[1] https://qengineering.eu/install-tensorflow-2.4.0-on-jetson-nano.html

[2] Lite https://qengineering.eu/install-tensorflow-2-lite-on-jetson-nano.html

[3] Install bazel https://github.com/jkjung-avt/jetson_nano/blob/master/install_bazel-3.1.0.sh

Linux verify disk activities

 

 

$ sudo apt-get install iotop

$ sudo iotop -a
$ sudo iotop -oPa -d 2  #more specific
 

$ iostat  #activity by sda, sdb, etc.
 

jbd2 is a kernel thread that updates the filesystem journal.

 

References:

[1] Reduce firefox disk access https://gist.github.com/gagarine/5cf8f861abe0dd035b7af19e4f691cd8

[2] Monitoring disk activity(htop) https://askubuntu.com/questions/276669/how-to-monitor-disk-activity

Get create/birth date from files

$ stat wakeup.txt  #get the inode

$ df -h wakeup.txt #get device name sdxy

$ sudo debugfs -R 'stat <586205>' /dev/sda1

Output:

Inode: 586205   Type: regular    Mode:  0664   Flags: 0x80000
Generation: 1277687204    Version: 0x00000000:00000001
User:  1000   Group:  1000   Size: 31
File ACL: 0    Directory ACL: 0
Links: 1   Blockcount: 8
Fragment:  Address: 0    Number: 0    Size: 0
ctime: 0x615eed87:dba39c9c  -- Thu Oct  7 09:52:23 2021
atime: 0x64231159:334e6b48  -- Tue Mar 28 13:10:01 2023
mtime: 0x615eed87:dba39c9c  -- Thu Oct  7 09:52:23 2021
crtime: 0x615eed87:dba39c9c -- Thu Oct  7 09:52:23 2021
Size of extra inode fields: 32

 

References:

[1] https://www.linuxshelltips.com/find-file-creation-date/

[2] https://www.baeldung.com/linux/get-file-creation-date